71results about How to "Improve risk control ability" patented technology

The invention discloses a dynamically configured big data analysis system and method. The system includes a real-time data storage management module, a real-time flow analysis and calculating module, an off-line analysis module, and a visualization module. At least one assembly capable of performing dynamical configuration management is arranged in each module, for example, a data management configuration assembly, a real-time flow analysis and calculating configuration assembly, an off-line analysis and calculating configuration assembly, and a dynamic configuration assembly. The invention further provides a dynamical configuration method of the big data analysis system. A data structure and an information structure of each module are designed, and a calculating method of warning redundancy and a dynamic configuration method are provided through the dynamic configuration of a state information driving system of a warning data structure in a dynamic configuration manager. According to the invention, the system can run at an efficient big data analysis and calculating level, and the optimization process of big data analysis platform management is effectively solved.

The invention discloses a supply chain finance block chain application method based on a sovereign block chain technology. The invention relates to a block chain field and especially relates to a sovereign block chain field. By using the method, problems that supply chain financing rate is low; a supply chain can not high-efficiently achieve a credit function; and a supply chain finance ecosphere cooperation development is restricted are solved. In the invention, based on the sovereign block chain technology, a block chain application platform suitable for China supply chain finance is constructed so that safety and traceability of supply chain finance application are increased. Mutual trust is established and transaction cost is reduced. Productivity of each node of a whole supply chain and a fund utilization rate are increased. A supervision node is provided for a supervision mechanism and whole process links of the supply chain finance are supervised.

The invention discloses a multi-cycle generation scheduling coordinated optimization and closed-loop control method which comprises the following steps that first, a monthly generation schedule is made; second, a day-ahead generation schedule is made; third, an intra-day rolling schedule is made; fourth, AGC determines units which only bear basic power through unit classification, and the units which only bear basic power track the intra-day rolling schedule to achieve closed-loop control; fifth, actual operation data of the units are fed back to the monthly generation schedule, and the monthly generation schedule is corrected in a rolling mode. The multi-cycle generation scheduling coordinated optimization and closed-loop control method for the operation plan field is achieved, overall resource optimized allocation and safety constrained control on a longer time dimension are achieved, and the scheduling target for impartiality and openness plus energy conservation at the same time is achieved.

The invention discloses an agricultural product traceability insurance public service platform based on a block chain technology. The agricultural product traceability insurance public service platform comprises a block chain data acquisition and storage subsystem, an insurance business transaction management subsystem, a public service portal, a third-party interface service subsystem and a datastatistics subsystem, wherein the block chain data acquisition and storage subsystem collects credit data files and information related to a bitcoin block chain related to the credit data files, and the information is recorded into a block chain of the subsystem to be stored after being subjected to information verification through each information node; the insurance business transaction management subsystem is used for providing online transaction management service for an insurance company; and the public service portal is used for providing an insurance transaction result and transaction file online query. According to the invention, through the blockchain technology, all kinds of production and operation activity process data of agricultural enterprises and financial insurance services are bound, innovation of Internet insurance products is realized, agricultural product appreciation is brought to agriculture-related enterprises, and the risk of the agriculture-related enterprisesis reduced.

The invention relates to an unstructured data default probability prediction method based on deep learning. The method comprises the steps as follows: unstructured data, including text data and time series data, of credit subjects are integrated and cleaned; the unstructured data are converted into a data format recognizable by a deep learning model; data features are extracted as sample data on the basis of a deep learning model frame; as for the extracted sample data, a credit risk model is constructed by use of a complex machine learning classification algorithm-integrated tree model, and default probability prediction is output. According to the method, the unstructured data such as text and time sequence data are mined, potential risk behavior modes of the credit subjects are caught on the basis of deep learning and a big data technology, high dimensional data credit risk modeling is performed accordingly, automatic, comprehensive and procedural quantitative credit risk analysis for the credit subjects is realized, the finance risk control capacity is improved, and the credit risk is reduced.

The invention discloses a personal-credit evaluation method of intelligent combination and a system. The method is suitable for use in the system. The system includes a sample data acquisition module,a sample data processing module, a data feature training module, a scoring model construction module and a scoring model test module. The method includes the steps of: S1, acquiring sample data of model training by the sample data acquisition module; S2, dividing samples into a training set I, a training set II and a test set; S3, carrying out feature grouping on the sample data of the training set I, the training set II and the test set; S4, carrying out training on each set of data features, and generating a corresponding trained sub-model by each set of data features; S5, carrying out prediction on the trained sub-models; and S6, testing a finally constructed credit scoring model on the test set by the scoring model test module to evaluate model test effect.

The invention discloses a matrix quantitative analysis method in intelligent transaction and a system thereof. The method comprises the following steps of: 1, establishing a database for matrix quantitative analysis, and determining a time period from the database, wherein the length of the period can be set through parameters of a matrix; 2, analyzing historical data, i.e., firstly counting average probability and average wave amplitude for highs and lows of a matrix with the same arrangement order in a next time period and then calculating market risk return rates of different periods respectively; 3, determining a transaction strategy according to the market risk return rate of the matrix in the current time period; 4, calling an intelligent transaction program according to the transaction strategy and starting automatic transaction; and 5, calling a risk evaluation system to evaluate a historical transaction record made by an intelligent transaction program to provide a risk grade for a risk of a transaction account, calculating a default point by using a discrimination model, and then calculating a default distance and default probability of the risk grade of the account through a KMV (Credit Monitor Model).

The embodiment of the invention discloses a method, a device, a computer device and a storage medium for monitoring abnormal trading behavior, wherein, the method comprises the following steps of: acquiring trading behavior data in a trading system in real time; If the abnormal transaction behavior monitoring request is received, determining the abnormal transaction behavior type to be monitored according to the abnormal transaction behavior monitoring request; Calling a preset monitoring rule matching with the abnormal transaction behavior type to be monitored from a preset database; Calculating an evaluation index when the real-time acquired transaction behavior data is an abnormal transaction behavior type to be monitored according to a preset evaluation exponential function associatedwith the called preset monitoring rule and monitoring parameters and parameter thresholds; When the evaluation index is greater than or equal to a preset alarm threshold, generating corresponding alarm prompt information. The invention can quantify the abnormality degree of the transaction behavior, so that the supervisor continuously monitors all the transaction behavior of the customer, and classifies and handles the transaction behavior according to the abnormality degree.

The invention discloses a product service full-chain driving method and device, and a readable storage medium. The product service full-chain driving method comprises the following steps: performing full-chain driving on a product; receiving customer-related data, respectively inputting the customer related data into a preset public data model and a preset federation model; determining initial qualification grade information; constructing a customer portrait corresponding to the customer related data, the client portrait is obtained; matching a product message corresponding to the initial qualification level information, and sending the product message to a client corresponding to the client related data, and if client willingness information fed back by the client based on the product message is received, providing a target product corresponding to the product message to a target client corresponding to the client through a preset intelligent service module. The technical problems oflow product service efficiency and high cost are solved.

The invention relates to a multilevel relation management method and a platform for credit money allocation. The method comprises steps: through analyzing the credit value of an enterprise which is about to access the platform, the enterprise is marked as a core enterprise, and according to a protocol channel, an upper-lower enterprise relation between the core enterprise and a first invited enterprise is built; an upper-lower enterprise relation between the first invited enterprise and a second invited enterprise is built; the total credit money amount value is pre-allocated to the core enterprise, and allocation of the credit money amount value is carried out on other enterprises which access the platform according to the protocol channel. Through building the upper-lower enterprise relation, the allocation of the credit money amount value between upper and lower levels of enterprises is managed, the risk control ability is improved, the credit risks are reduced, the supervision strength is enhanced, the credit money amount allocation ability is further improved, and interests and needs of the enterprise are met.

The invention relates to a method for air control, an electronic device and a computer storage medium. In the process of calculating the user's wind control data, the method can call a rule engine many times in real time and combine the corresponding rules to determine whether the next step of the wind control data audit is needed or not, and the subsequent data calculation is stopped when the user's data hits any rejection condition in the rule set. By using the invention, the data cost can be saved, the effect of the wind control and the online examination and approval efficiency can be improved.

The invention discloses a risk identification method and device for a data processing event. The method comprises the following steps: analyzing general event attributes and characteristic event attributes of the current data processing event, wherein the general event attributes are common attributes of data processing events of a plurality of data processing systems, and the characteristic eventattributes are special attributes of the data processing events in the corresponding data processing systems; carrying out a first risk identification through first risk identification rules, in which the identification is based on the general event attributes, so that a general identification result is obtained; and carrying out a second risk identification through second risk identification rules, in which the general identification result and the characteristic event attributes are combined for the identification, so that a comprehensive identification result for the current data processing event is obtained. The method and device provided by the invention has the advantages that the workload for rule configuration and maintenance is greatly reduced, so that the maintenance efficiencyfor risk control services can be improved.

The invention provides a customer credit evaluation method and device. The method comprises the steps of collecting credit evaluation data of a to-be-evaluated customer; performing credit evaluation on the to-be-evaluated customer according to the credit evaluation data and a pre-established credit evaluation model, wherein the credit evaluation model is obtained by performing model training by using input feature data, and the input feature data is determined from preset credit evaluation data for model training, which is subjected to feature selection and discrete processing, according to a preset information threshold value. The invention belongs to the field of Internet of Things, can also be used in the financial field, and provides an effective customer credit evaluation method, aiming at credit business in a bank, the bank risk control capability is effectively improved, the bank auditing cost is reduced, and the risk control efficiency and accuracy of the bank are improved.

The invention discloses a digital warehouse receipt management method and device, and relates to the technical field of computers. One specific embodiment of the method comprises the following steps:receiving a warehouse receipt processing request, and reading a digital warehouse receipt according to a warehouse receipt identifier in the warehouse receipt processing request to obtain characteristics of the digital warehouse receipt; transmitting the digital warehouse receipt and the warehouse receipt processing request to a warehouse receipt processing system so as to process the digital warehouse receipt through the warehouse receipt processing system; and receiving a processing result fed back by the warehouse receipt processing system, and updating the characteristics of the digital warehouse receipt based on the processing result. According to the implementation mode, the standardized digital warehouse receipt is provided, and the market value of articles in the digital warehousereceipt is dynamically tracked by ensuring the authenticity of the warehouse receipt, so that the risk control capability of the digital warehouse receipt in a movable property financing scene is improved, and the possibility of further innovation of the digital warehouse receipt in supply chain financial services is provided.

The embodiment of the invention discloses a method for processing claim settlement, which is used for solving problems that the existing claim settlement risk control cannot be elaborated to every insurance policy and every insured and that the claim settlement risk control ability is insufficient. The method disclosed by the embodiment of the invention comprises the steps of obtaining a target claim settlement request; obtaining credit investigation data of the insured of an insurance policy corresponding to the target claim settlement request; obtaining the claim payment amount of the insurance policy corresponding to the target claim settlement request; selecting a target risk control rule from preset risk control rules according to the credit investigation data and the claim payment amount; and processing the target claim settlement request according to the target risk control rule to obtain a claim settlement processing result. The embodiment of the invention further provides a device for processing the claim settlement.

The present invention discloses a method and a device for copying an intelligent card, and a computer readable storage medium. The technical problem is solved that an intelligent card is easy to copyin the prior art. The method comprises the steps of: receiving a copy request, sent by a mobile terminal, for an intelligent card; according to the copy request, obtaining feature codes of the intelligent card, wherein the feature codes are obtained by employing an algorithm and calculating data of the intelligent card; according to the feature codes, confirming whether the intelligent card can meet a copy condition or not; and performing feedback of a confirmation result to the mobile terminal to allow the mobile terminal to copy or stop copy the intelligent card according to the confirmationresult.

The invention relates to the technical field of food safety, and discloses a method for evaluating detection quality of a pesticide residue quick detection instrument. The method comprises the following steps of obtaining standard reference data of different vegetable varieties in advance; when an operator detects a to-be-detected vegetable sample, comparing the measured initial absorbance value of the to-be-detected vegetable sample extracting liquid, the stable absorbance value after reaction for 10min by adding enzyme and a coloring agent, and the standard reference data of the vegetable variety; comparing the linear correlation coefficient Y3 of absorbance value and time of the to-be-detected sample extracting liquid and the preset value, and evaluating whether the operation of an operator is standard or not, so as to judge whether the obtained enzyme inhibiting rate value after detection is valid or not. The evaluation method has the advantages that the ability of base level detection controlling the pesticide residue risk is improved, and the management level of the pesticide residue detection is improved.

The invention discloses a multi-loan staging risk control management method and system, and the method comprises the steps: obtaining the credit information of a target object when receiving a stagingrequest of the target object; Wherein the credit information comprises loan records of the user on a plurality of loan platforms and corresponding repayment records; According to a preset multi-loanconfiguration rule and the credit information, obtaining the risk repayment frequency of a target object in a predetermined time period so as to evaluate the repayment capability level of the target object; And determining whether to pass a staging request for the target object according to the repayment capability level of the target object. The credit information of the target object on a plurality of platforms or institutions is acquired through the risk control channel, and the repayment capability level of the user is evaluated based on the preset multi-loan configuration rule, so that the risk control management capability is improved.

The invention provides a system, a terminal, a server and a method used for safety information interaction and based on position parameters. The system for the safety information interaction comprises a safety information interaction terminal, an access server and a safety information data processing server, wherein the access server can conduct position matching judgment based on position information of the safety information interaction terminal and can complete a later safety information interaction process based on judging results. The system, the terminal, the server and the method used for the safety information interaction and based on the position parameters have high safety and reliability, and improve risk control capacity of the safety information interaction system.

The invention discloses an invoice information mining method and device, computer equipment and a storage medium. The method comprises the steps of receiving an invoice data set which is obtained froma source enterprise terminal and records an invoice file of a source enterprise; extracting invoice data in the invoice file; forming an upstream and downstream enterprise relationship network takingthe source enterprise as a core according to the invoice data, wherein the upstream and downstream enterprise relationship network comprises the source enterprise and a plurality of associated enterprises; crawling data of the source enterprise and each associated enterprise, and generating a knowledge graph in combination with the upstream and downstream enterprise relationship network; and analyzing the risk value of each associated enterprise according to the knowledge graph, and pushing the risk information to a source enterprise terminal. According to the invoice information mining method and device, the computer equipment and the storage medium, the knowledge graph with the source enterprise as the core is constructed through the invoice data and the big data, data mining can be conducted through the knowledge graph, the risk control capacity is enhanced, and reference is provided for the decision making of banks and the source enterprise.